Weighing Platform Object Recognition Area Design
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Solution Overview
Problem
Existing image recognition systems in weighing applications suffer from low precision and accuracy due to complexities such as object sticking, stacking, and varying postures, which require complex algorithms and higher operator training and time.
Innovation Solution
A weighing device with an object recognition area on the platform, where objects are intentionally placed for recognition, simplifying the recognition process by reducing external influences and algorithm complexity, and utilizing both image and weight information for accurate recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image recognition is performed on the entire platform without a designated area, then the system can handle various placement scenarios, but the recognition precision and accuracy decrease due to object sticking, stacking, and varying postures
Solution Approach 1:
The platform is segmented into a specific object recognition area, separating the recognition function from the rest of the weighing platform. This segmentation allows the recognition system to focus on a controlled area where objects are placed in a standardized manner, improving recognition precision while maintaining ease of operation through clear visual guidance.
Solution Approach 2:
The object recognition area acts as an intermediary zone between the user and the recognition system. By providing a designated area with specific visual characteristics (such as contrasting color or pattern), it mediates the interaction by guiding object placement and enhancing image contrast, thereby improving recognition accuracy without complicating the user's task.
2Measurement precision
If complex algorithms are used to handle object sticking and stacking phenomena, then recognition accuracy may improve, but the algorithm complexity and processing time increase significantly
Solution Approach 1:
The system performs preliminary action by providing a specifically designed object recognition area with controlled characteristics before the actual recognition process. This preliminary setup prevents object sticking and stacking issues at their source by guiding proper object placement, thereby simplifying the subsequent recognition algorithm and reducing processing complexity.
Solution Approach 2:
The object recognition area introduces specific parameter changes in the form of controlled visual characteristics (color, pattern, texture) that enhance image contrast and object distinguishability. These parameter changes in the environment allow the use of simpler recognition algorithms while maintaining high accuracy, as the controlled parameters reduce the variability that would otherwise require complex algorithms to handle.
Data Source
AI summary
A method of weighing using a scale (10) comprises the steps of: recognizing at least one of a plurality of objects placed within an object recognition area (A) of a platform (20) of the scale (10), and weighing the plurality of objects placed on the platform (20) of the scale (10) to determine a total weight of the plurality of objects. A weighing device (10) comprises the platform (20) configured as a plane, and utilizes the aforementioned weighing method. The method of weighing is advantageous in that it reduces the difficulty of object recognition using an algorithm by increasing the degree to which the object on the weighing platform fits the algorithm, reduces the complexity of the operation flow and the time required, and effectively increases the precision and accuracy of object recognition.